{"id":945509,"date":"2024-12-26T23:26:34","date_gmt":"2024-12-26T15:26:34","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/945509.html"},"modified":"2024-12-26T23:26:37","modified_gmt":"2024-12-26T15:26:37","slug":"python%e5%a6%82%e4%bd%95%e8%bf%9e%e6%8e%a5spark","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/945509.html","title":{"rendered":"python\u5982\u4f55\u8fde\u63a5spark"},"content":{"rendered":"

\"python\u5982\u4f55\u8fde\u63a5spark\"<\/p>\n

\u8981\u5728Python\u4e2d\u8fde\u63a5Spark\uff0c\u53ef\u4ee5\u4f7f\u7528PySpark\u5e93\u3001\u914d\u7f6eSparkSession\u3001\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\u3002PySpark\u662fSpark\u7684\u5b98\u65b9Python API\uff0c\u5b83\u5141\u8bb8Python\u7a0b\u5e8f\u4e0eSpark\u8fdb\u884c\u4ea4\u4e92\u3002\u901a\u8fc7\u914d\u7f6eSparkSession\uff0c\u53ef\u4ee5\u542f\u52a8Spark\u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u4e0eSpark\u96c6\u7fa4\u8fdb\u884c\u901a\u4fe1\u3002\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\u53ef\u4ee5\u786e\u4fddPySpark\u627e\u5230\u6b63\u786e\u7684Spark\u5b89\u88c5\u8def\u5f84\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u6b65\u9aa4\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001PYSARK\u5e93\u7684\u5b89\u88c5\u4e0e\u914d\u7f6e<\/p>\n<\/p>\n

\u8981\u5728Python\u4e2d\u8fde\u63a5Spark\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5PySpark\u5e93\u3002PySpark\u662fSpark\u7684Python API\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e0eSpark\u96c6\u7fa4\u4ea4\u4e92\u7684\u63a5\u53e3\u3002\u5728\u5b89\u88c5PySpark\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u7684\u7cfb\u7edf\u4e0a\u5df2\u7ecf\u5b89\u88c5\u4e86Java\u548cPython\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5PySpark\uff1a<\/p>\n<\/p>\n

pip install pyspark<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u63a5\u4e0b\u6765\u5c31\u662f\u914d\u7f6e\u73af\u5883\u53d8\u91cf\uff0c\u4ee5\u786e\u4fddPySpark\u80fd\u591f\u627e\u5230Spark\u5b89\u88c5\u8def\u5f84\u3002\u901a\u5e38\uff0c\u4f60\u9700\u8981\u8bbe\u7f6eSPARK_HOME<\/code>\u548cPYTHONPATH<\/code>\u73af\u5883\u53d8\u91cf\u3002\u5728Linux\u6216macOS\u4e0a\uff0c\u53ef\u4ee5\u5728.bashrc<\/code>\u6216.zshrc<\/code>\u6587\u4ef6\u4e2d\u6dfb\u52a0\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
export SPARK_HOME=\/path\/to\/spark<\/p>\n
export PATH=$SPARK_HOME\/bin:$PATH<\/p>\n
export PYTHONPATH=$SPARK_HOME\/python:$PYTHONPATH<\/p>\n
<\/code><\/pre>\n<\/p>\n
Windows\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7cfb\u7edf\u5c5e\u6027\u4e2d\u7684\u201c\u73af\u5883\u53d8\u91cf\u201d\u8bbe\u7f6e\u8fd9\u4e9b\u53d8\u91cf\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u521b\u5efaSparkSession<\/p>\n<\/p>\n
SparkSession\u662fSpark 2.0\u5f15\u5165\u7684\u4e00\u4e2a\u65b0\u6982\u5ff5\uff0c\u5b83\u4e3a\u7528\u6237\u63d0\u4f9b\u4e86\u7edf\u4e00\u7684\u5165\u53e3\u70b9\u3002\u901a\u8fc7SparkSession\uff0c\u7528\u6237\u53ef\u4ee5\u4f7f\u7528Spark SQL\u3001DataFrame\u3001Streaming\u7b49\u529f\u80fd\u3002\u521b\u5efaSparkSession\u7684\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
from pyspark.sql import SparkSession<\/p>\n
spark = SparkSession.builder \\<\/p>\n
    .appName("MySparkApp") \\<\/p>\n
    .config("spark.some.config.option", "some-value") \\<\/p>\n
    .getOrCreate()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u91cc\uff0cappName<\/code>\u662f\u4e3a\u4f60\u7684Spark\u5e94\u7528\u7a0b\u5e8f\u6307\u5b9a\u7684\u540d\u79f0\uff0cconfig<\/code>\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u8bbe\u7f6eSpark\u7684\u914d\u7f6e\u9009\u9879\u3002\u521b\u5efaSparkSession\u540e\uff0c\u4f60\u5c31\u53ef\u4ee5\u4f7f\u7528\u5b83\u6765\u8bfb\u53d6\u548c\u5904\u7406\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u8bfb\u53d6\u6570\u636e\u5e76\u8fdb\u884c\u5904\u7406<\/p>\n<\/p>\n
\u521b\u5efaSparkSession\u540e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u5b83\u6765\u8bfb\u53d6\u548c\u5904\u7406\u6570\u636e\u3002Spark\u652f\u6301\u591a\u79cd\u6570\u636e\u6e90\uff0c\u5982CSV\u3001JSON\u3001Parquet\u7b49\u3002\u4ee5\u4e0b\u662f\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
df = spark.read.csv("path\/to\/file.csv", header=True, inferSchema=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0cheader=True<\/code>\u8868\u793aCSV\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\u662f\u8868\u5934\uff0cinferSchema=True<\/code>\u8868\u793aSpark\u5c06\u81ea\u52a8\u63a8\u65ad\u5217\u7684\u6570\u636e\u7c7b\u578b\u3002\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528DataFrame API\u8fdb\u884c\u6570\u636e\u5904\u7406\u3002\u4f8b\u5982\uff0c\u9009\u62e9\u67d0\u51e0\u5217\u5e76\u663e\u793a\u6570\u636e\uff1a<\/p>\n<\/p>\n
df.select("column1", "column2").show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528RDD\u8fdb\u884c\u4f4e\u7ea7\u64cd\u4f5c<\/p>\n<\/p>\n
\u867d\u7136DataFrame API\u662fSpark\u7684\u9ad8\u7ea7API\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u4f7f\u7528\u4f4e\u7ea7API\uff1aRDD\uff08\u5f39\u6027\u5206\u5e03\u5f0f\u6570\u636e\u96c6\uff09\u3002\u4ee5\u4e0b\u662f\u521b\u5efaRDD\u5e76\u8fdb\u884c\u7b80\u5355\u64cd\u4f5c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
rdd = spark.sparkContext.parallelize([1, 2, 3, 4, 5])<\/p>\n
squared_rdd = rdd.map(lambda x: x * x)<\/p>\n
print(squared_rdd.collect())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u5b571\u52305\u7684RDD\uff0c\u7136\u540e\u4f7f\u7528map<\/code>\u51fd\u6570\u5bf9\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u5e73\u65b9\u64cd\u4f5c\uff0c\u6700\u540e\u4f7f\u7528collect<\/code>\u51fd\u6570\u6536\u96c6\u7ed3\u679c\u5e76\u6253\u5370\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u6570\u636e\u5206\u6790\u4e0e\u673a\u5668\u5b66\u4e60<\/a><\/p>\n<\/p>\n
Spark\u4e0d\u4ec5\u7528\u4e8e\u6570\u636e\u5904\u7406\uff0c\u8fd8\u652f\u6301\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u3002\u901a\u8fc7Spark MLlib\uff0c\u4f60\u53ef\u4ee5\u6784\u5efa\u548c\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u8bad\u7ec3\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from pyspark.ml.regression import LinearRegression<\/p>\n
\u5047\u8bbedf\u662f\u4e00\u4e2aDataFrame\uff0c\u5e76\u4e14\u5305\u542b"features"\u548c"label"\u5217<\/strong><\/h2>\n
lr = LinearRegression(featuresCol="features", labelCol="label")<\/p>\n
lr_model = lr.fit(df)<\/p>\n
\u6253\u5370\u6a21\u578b\u53c2\u6570<\/strong><\/h2>\n
print("Coefficients: " + str(lr_model.coefficients))<\/p>\n
print("Intercept: " + str(lr_model.intercept))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165LinearRegression<\/code>\u7c7b\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u5bf9\u8c61\uff0c\u5e76\u8c03\u7528fit<\/code>\u65b9\u6cd5\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u3002<\/p>\n<\/p>\n
\u516d\u3001\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e<\/p>\n<\/p>\n
Spark\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u7684\u80fd\u529b\u3002\u901a\u8fc7\u5c06\u6570\u636e\u5206\u5e03\u5728\u591a\u4e2a\u8282\u70b9\u4e0a\uff0cSpark\u80fd\u591f\u5904\u7406TB\u751a\u81f3PB\u7ea7\u522b\u7684\u6570\u636e\u3002\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u5408\u7406\u7684\u5206\u533a\u7b56\u7565\u548c\u7f13\u5b58\u673a\u5236\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u4f7f\u7528repartition<\/code>\u6216coalesce<\/code>\u8c03\u6574\u5206\u533a\u6570\uff1a<\/p>\n<\/p>\n
df_repartitioned = df.repartition(10)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528cache<\/code>\u6216persist<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u7f13\u5b58\u5230\u5185\u5b58\u4e2d\uff0c\u4ee5\u63d0\u9ad8\u540e\u7eed\u64cd\u4f5c\u7684\u901f\u5ea6\uff1a<\/p>\n<\/p>\n
df.cache()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528Spark SQL\u8fdb\u884c\u67e5\u8be2<\/p>\n<\/p>\n
Spark SQL\u5141\u8bb8\u4f60\u4f7f\u7528SQL\u8bed\u53e5\u6765\u67e5\u8be2\u6570\u636e\u3002\u9996\u5148\uff0c\u9700\u8981\u5c06DataFrame\u6ce8\u518c\u4e3a\u4e34\u65f6\u89c6\u56fe\uff0c\u7136\u540e\u4f7f\u7528SQL\u8bed\u53e5\u8fdb\u884c\u67e5\u8be2\uff1a<\/p>\n<\/p>\n
df.createOrReplaceTempView("my_table")<\/p>\n
result = spark.sql("SELECT column1, COUNT(*) FROM my_table GROUP BY column1")<\/p>\n
result.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5c06DataFrame\u6ce8\u518c\u4e3a\u540d\u4e3amy_table<\/code>\u7684\u4e34\u65f6\u89c6\u56fe\uff0c\u7136\u540e\u4f7f\u7528SQL\u8bed\u53e5\u8fdb\u884c\u5206\u7ec4\u67e5\u8be2\u3002<\/p>\n<\/p>\n
\u516b\u3001\u6d41\u6570\u636e\u5904\u7406<\/p>\n<\/p>\n
Spark Streaming\u53ef\u4ee5\u7528\u4e8e\u6d41\u6570\u636e\u5904\u7406\u3002\u901a\u8fc7\u5c06\u6d41\u6570\u636e\u5206\u6210\u5c0f\u6279\u91cf\uff08micro-batch\uff09\uff0cSpark Streaming\u80fd\u591f\u5bf9\u5b9e\u65f6\u6570\u636e\u8fdb\u884c\u5904\u7406\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u6d41\u6570\u636e\u5904\u7406\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from pyspark.streaming import StreamingContext<\/p>\n
ssc = StreamingContext(spark.sparkContext, 1)<\/p>\n
lines = ssc.socketTextStream("localhost", 9999)<\/p>\n
words = lines.flatMap(lambda line: line.split(" "))<\/p>\n
pAI<\/a>rs = words.map(lambda word: (word, 1))<\/p>\n
word_counts = pairs.reduceByKey(lambda x, y: x + y)<\/p>\n
word_counts.pprint()<\/p>\n
ssc.start()<\/p>\n
ssc.awaitTermination()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2aStreamingContext<\/code>\u5bf9\u8c61\uff0c\u7136\u540e\u901a\u8fc7socketTextStream<\/code>\u65b9\u6cd5\u76d1\u542c\u672c\u5730\u76849999\u7aef\u53e3\uff0c\u63a5\u6536\u6d41\u6570\u636e\u3002\u63a5\u7740\uff0c\u5bf9\u63a5\u6536\u5230\u7684\u6570\u636e\u8fdb\u884c\u8bcd\u9891\u7edf\u8ba1\u5e76\u6253\u5370\u7ed3\u679c\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u8c03\u4f18\u4e0e\u76d1\u63a7<\/p>\n<\/p>\n
\u8981\u5145\u5206\u53d1\u6325Spark\u7684\u6027\u80fd\uff0c\u8c03\u4f18\u548c\u76d1\u63a7\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002\u901a\u8fc7\u8c03\u6574Spark\u7684\u914d\u7f6e\u53c2\u6570\uff0c\u4f60\u53ef\u4ee5\u4f18\u5316\u4f5c\u4e1a\u7684\u6267\u884c\u6548\u7387\u3002\u4f8b\u5982\uff0c\u8c03\u6574executor<\/code>\u7684\u5185\u5b58\u548c\u6838\u5fc3\u6570\uff1a<\/p>\n<\/p>\n
spark = SparkSession.builder \\<\/p>\n
    .appName("MySparkApp") \\<\/p>\n
    .config("spark.executor.memory", "2g") \\<\/p>\n
    .config("spark.executor.cores", "4") \\<\/p>\n
    .getOrCreate()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6b64\u5916\uff0c\u4f7f\u7528Spark\u7684\u76d1\u63a7UI\u53ef\u4ee5\u67e5\u770b\u4f5c\u4e1a\u6267\u884c\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u5305\u62ec\u4efb\u52a1\u5206\u5e03\u3001\u6267\u884c\u65f6\u95f4\u3001\u8d44\u6e90\u4f7f\u7528\u60c5\u51b5\u7b49\uff0c\u5e2e\u52a9\u4f60\u8bc6\u522b\u6027\u80fd\u74f6\u9888\u5e76\u8fdb\u884c\u4f18\u5316\u3002<\/p>\n<\/p>\n
\u5341\u3001\u96c6\u6210\u4e0e\u6269\u5c55<\/p>\n<\/p>\n
Spark\u53ef\u4ee5\u4e0e\u5176\u4ed6\u5927\u6570\u636e\u5de5\u5177\u548c\u6846\u67b6\u96c6\u6210\uff0c\u5982Hadoop\u3001Kafka\u3001Hive\u7b49\u3002\u901a\u8fc7\u8fd9\u79cd\u96c6\u6210\uff0cSpark\u53ef\u4ee5\u8bbf\u95eeHDFS\u3001\u5904\u7406Kafka\u4e2d\u7684\u6d41\u6570\u636e\u3001\u67e5\u8be2Hive\u4e2d\u7684\u8868\u7b49\u3002\u6b64\u5916\uff0cSpark\u8fd8\u652f\u6301\u901a\u8fc7\u63d2\u4ef6\u673a\u5236\u8fdb\u884c\u6269\u5c55\uff0c\u5f00\u53d1\u81ea\u5b9a\u4e49\u7684\u6570\u636e\u6e90\u3001\u6570\u636e\u683c\u5f0f\u3001\u7b97\u6cd5\u7b49\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u5728Python\u4e2d\u6210\u529f\u8fde\u63a5Spark\uff0c\u5e76\u5229\u7528\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u80fd\u529b\u3002\u65e0\u8bba\u662f\u6279\u5904\u7406\u8fd8\u662f\u6d41\u5904\u7406\uff0cSpark\u90fd\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684API\u548c\u5de5\u5177\uff0c\u5e2e\u52a9\u4f60\u5e94\u5bf9\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u6311\u6218\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u7ed3\u5408\u6570\u636e\u7279\u70b9\u548c\u4e1a\u52a1\u9700\u6c42\uff0c\u9009\u62e9\u5408\u9002\u7684\u5904\u7406\u65b9\u5f0f\u548c\u4f18\u5316\u7b56\u7565\uff0c\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6570\u636e\u5904\u7406\u6548\u7387\u548c\u5e94\u7528\u6027\u80fd\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5b89\u88c5Spark\uff1f<\/strong>
\u8981\u5728Python\u4e2d\u8fde\u63a5Spark\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5Apache Spark\u548cPySpark\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u5b8c\u6210\u5b89\u88c5\uff1a<\/p>\n
    \n
  1. \u4e0b\u8f7dApache Spark\u7684\u6700\u65b0\u7248\u672c\u5e76\u89e3\u538b\u7f29\u3002<\/li>\n
  2. \u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\uff0c\u6dfb\u52a0Spark\u7684bin\u76ee\u5f55\u5230\u7cfb\u7edf\u7684PATH\u4e2d\u3002<\/li>\n
  3. \u4f7f\u7528pip\u5b89\u88c5PySpark\uff1a\u5728\u547d\u4ee4\u884c\u4e2d\u8fd0\u884cpip install pyspark<\/code>\u3002
    \n\u5b8c\u6210\u8fd9\u4e9b\u6b65\u9aa4\u540e\uff0c\u60a8\u5c31\u53ef\u4ee5\u5728Python\u4e2d\u4f7f\u7528Spark\u4e86\u3002<\/li>\n<\/ol>\n
    \u5728Python\u4e2d\u5982\u4f55\u914d\u7f6eSparkSession\uff1f<\/strong>
    \u8981\u5728Python\u4e2d\u521b\u5efaSpark\u7684\u8fde\u63a5\uff0c\u60a8\u9700\u8981\u914d\u7f6e\u4e00\u4e2aSparkSession\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n
    from pyspark.sql import SparkSession\n\nspark = SparkSession.builder \\\n    .appName("MyApp") \\\n    .config("spark.some.config.option", "config-value") \\\n    .getOrCreate()\n<\/code><\/pre>\n
    \u5728\u6b64\u4ee3\u7801\u4e2d\uff0cappName<\/code>\u7528\u4e8e\u8bbe\u7f6e\u5e94\u7528\u7684\u540d\u79f0\uff0c\u800cconfig<\/code>\u53ef\u4ee5\u7528\u4e8e\u6dfb\u52a0\u5176\u4ed6\u914d\u7f6e\u9879\u3002<\/p>\n
    \u5728Python\u4e2d\u5982\u4f55\u8bfb\u53d6\u548c\u5904\u7406\u6570\u636e\uff1f<\/strong>
    \u4e00\u65e6\u60a8\u8fde\u63a5\u5230Spark\uff0c\u4fbf\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6\u548c\u5904\u7406\u6570\u636e\u3002\u4f7f\u7528Spark\u7684DataFrame API\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6\u591a\u79cd\u683c\u5f0f\u7684\u6570\u636e\uff0c\u4f8b\u5982CSV\u3001JSON\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n
    df = spark.read.csv("path\/to\/your\/file.csv", header=True, inferSchema=True)\ndf.show()\n<\/code><\/pre>\n
    \u6b64\u4ee3\u7801\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u663e\u793a\u5185\u5bb9\u3002\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5404\u79cdDataFrame\u64cd\u4f5c\uff08\u5982filter<\/code>\u3001groupBy<\/code>\u7b49\uff09\u6765\u5904\u7406\u6570\u636e\uff0c\u5145\u5206\u5229\u7528Spark\u7684\u5206\u5e03\u5f0f\u8ba1\u7b97\u80fd\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e2d\u8fde\u63a5Spark\uff0c\u53ef\u4ee5\u4f7f\u7528PySpark\u5e93\u3001\u914d\u7f6eSparkSession\u3001\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\u3002PyS […]","protected":false},"author":3,"featured_media":945512,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945509"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=945509"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945509\/revisions"}],"predecessor-version":[{"id":945513,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945509\/revisions\/945513"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/945512"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=945509"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=945509"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=945509"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}